1. Home
  2. Jobs
  3. DE
  4. Hesse
  5. Frankfurt
  6. Automotive
  7. Expert Machine Learning Perception Engineer – Self-Driving
VI
VinFastvinfast.vn

Expert Machine Learning Perception Engineer – Self-Driving

Frankfurt am Main, Hesse, GermanyFull-time2w ago

VINFAST is a pioneering electric vehicle (EV) company committed to revolutionizing the automotiveindustry with sustainable and innovative mobility solutions. As a leading player in the EV market,VinFast is dedicated to delivering high-quality, cutting-edge electric vehicles that redefine the driving

experience. Our team consists of passionate professionals driven by a shared vision of creating a greener andmore sustainable future through innovation, technology, and excellence.
We areseekinga highly skilled SeniorMLPerception Engineer to join ourself-drivingteam. In this role, you will design, develop, and deploy advancedperceptionalgorithms that enable autonomous vehicles to accurately sense, interpret, and interact with the world around them. You will work oncutting-edgechallenges in 3Dobject and occupancydetection, tracking, sensor fusion, scene understanding, and foundation models forself-driving, with direct impact on the safety and performance of our autonomous systems.This is an opportunity to contribute at the intersection of deep learning, computer vision, robotics, and system engineering, while collaborating with a world-class team of researchers and engineers.
  • Develop, prototype, and optimize algorithms for 3D objectand occupancydetection, multi-object tracking, semantic segmentation, and3Dscene understanding using multi-sensor data (camera, LiDAR, radar, etc.)
  • Design and adapt foundation models forself-drivingperception, enabling scalable, generalizable representations across tasks and sensor modalities
  • Build and improve multi-sensor fusion pipelines to enhance robustness under diverse and challenging driving scenarios
  • Research, adapt, and implementstate-of-the-artmethods in machine learning and computer vision (e.g. BEV perception, occupancy networks, multimodal fusion, end-to-end models)
  • Translate research insights into production-ready solutions, ensuring scalability, robustness, and efficiency
  • Optimizedeep learning models for real-time inference on automotive-grade hardware
  • Design and execute evaluation, benchmarking, and validation ofperceptionmodels across real-world datasets and simulation environments
  • Collaborate closely with cross-functional teams to integrateperceptionmodels into the fullself-drivingstack
  • Contribute to data curation, annotation strategies, and scalable training pipelines to accelerateperceptiondevelopment
  • Driveengineering excellence by writing high-quality, efficient, and well-tested code
  • Stay current with latest advances in computer vision, deep learning, robotics, and foundation models, and contribute to publications and patents when possible

Requirements

  • MSc/PhD in Computer Science, Electrical Engineering, Robotics, or a related field, with 5+ years of relevant industry experience
  • Strong foundationin machine learning, computer vision, and 3D geometry
  • Hands-on experience with 3Dobjectdetection/tracking architectures
  • Familiarity with foundation models for vision or multimodal learning (e.g., large-scale pretraining, transfer learning, self-supervised learningetc.)
  • Proficiencyin Python and/orC++, withexpertisein modern ML frameworks (PyTorch, TensorFlow)
  • Experienceinhandling 3D point cloud data
  • Knowledge of multi-sensor calibration and fusion techniques
  • Strong software engineering skills with emphasis on scalability, reliability, and performance optimization
  • Abilityto take algorithms from research to deployment in production systems
  • Excellent problem-solving skills, creativity, and ability to work in fast-paced, collaborative environments
  • Nice-to-Have:
  • Experience with autonomous driving or ADASperceptionsystems
  • Background in SLAM, 3D reconstruction, occupancynetworks, or sensor simulation
  • Track record of publications in top-tier conferences


Benefits

  • Competitive salary
  • Opportunity to collaborate with and learn from industry-leading professionals in the automotive domain.
With respect to all your personal data shared to VinFast in the application and the entire recruitment process of VinFast, by clicking “Apply”, submitting your resumé/CV and/or participating in VinFast's recruitment process, you agree that you have read VinFast's Personal Data Protection Policy ("Policy") posted athttps://vinfastauto.com/vn_vi/dieu-khoan-phap-lyorhttps://vinfast.vn/privacy-policy/, you agree to the Policy and consent for VinFast to process your personal data in accordance with the Policy and the applicable regulations on personal data protection.

To all recruitment agencies: VinFast does not accept agency resumes. Please do not forward resumes to our careers alias or other VinFast employees. VinFast is not responsible for any fees related to unsolicited resumes.